Triple
T31309695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة الخارجية والمغتربين (لبنان) |
E798428
|
entity |
| Predicate | تابعة_إلى |
P159219
|
FINISHED |
| Object | مجلس الوزراء اللبناني |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: مجلس الوزراء اللبناني | Statement: [وزارة الخارجية والمغتربين (لبنان), تابعة_إلى, مجلس الوزراء اللبناني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تابعة_إلى Context triple: [وزارة الخارجية والمغتربين (لبنان), تابعة_إلى, مجلس الوزراء اللبناني]
-
A.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
B.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
-
C.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
D.
يتبعها
chosen
Indicates that one entity comes after, succeeds, or is subordinate to another in order, sequence, or hierarchy.
-
E.
followedIn
Indicates that one entity began following or subscribing to another entity, typically in a social or sequential context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:15 p.m.